# When solving

1. When solving for the sample size needed to compute a confidence interval for a population proportion, the _________p(1-p) is, the _____ n will be. (Points : 1)
larger, smaller.
smaller, larger.
larger, larger.
2. When the level of confidence and sample proportion remain the same, a confidence interval for a population proportion p based on a sample of n = 100 will be _____ a confidence interval for p based on a sample of n = 400. (Points : 1)
wider than
narrower than
equal to
3. Whenever the sampled population has a normal distribution, the sampling distribution of is a normal distribution for (Points : 1)
only large sample sizes.
only small sample sizes.
any sample size.
only samples of size 30 or more.
4. As our sample standard deviation increases when all other parts of the confidence interval stay the same, then the confidence interval will become: (Points : 1)
wider
narrower
remain the same.
5. The standard deviation of all possible sample proportions increases as the sample size increases. (Points : 1)
True
False
6. For non-normal populations, as the sample size (n) _________, the distribution of sample means approaches a/an __________ distribution. (Points : 1)
decreases, uniform
increases, normal
decreases, normal
increases, uniform
increases, exponential
7. The central limit theorem states that as sample size increases, the population distribution more closely approximates a normal distribution. (Points : 1)
True
False
8. If the sampled population has mean 48 and standard deviation 16, then the mean and the standard deviation for the sampling distribution of for n = 16 are (Points : 1)
4 and 1.
12 and 4.
48 and 4.
48 and 1.
48 and 16.
9. When determining the sample size n, if the value found is not an integer initially, we ______ round this value up to the next integer value. (Points : 1)
always
sometimes
never
10. When the sample size and the sample proportion remain the same, a 90% confidence interval for a population proportion p will be ______ the 99% confidence interval for p. (Points : 1)
wider than
narrower than
equal to